A workforce-change evidence workspace that joins roster, organizational decisions, automation deployments, notices, retraining records, and current jurisdiction status for HR and Legal review.
Genesis score7.23/10
Make LayoffLedger real.0/500
500 more votes and LayoffLedger is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
1Confirmed enacted state program
1Passed but unsigned state bill
0Automatic causation findings
The case
Employers reducing roles after deploying automation may face new notice and disclosure duties, but workforce thresholds, worksites, timing, business reasons, decision history, vendor involvement, and AI causation are fact-intensive. LayoffLedger assembles source-linked evidence and draft artifacts for qualified review. It never decides that AI was a substantial factor, labels a bill as enacted, replaces ordinary WARN analysis, sends notices automatically, or treats a signed bundle as legally sufficient.
Who pays — and why
HR, legal, employee relations, labor, compliance, communications, and executive teams planning workforce changes after automation deployment.
What it unlocks
A source-preserving event record for employer, worksite, worker, role, organizational unit, decision, date, selection criteria, automation system, vendor, deployment, task change, retraining, and business rationale
Authority records that distinguish enacted, signed, effective, pending, passed, proposed, amended, enjoined, superseded, and unknown
Counsel-owned applicability and causal-factor determinations with evidence, alternatives, dissent, privilege boundaries, and approval
Draft notices, filings, employee communication, government or union delivery, acknowledgment, correction, retention, and signed integrity kept separate
How Genesis scored it
7.23across seven criteria
8
Productive tension
A standardized workflow must preserve contested causation and worker rights.
8
Temporal window
One confirmed effective date approaches and other proposals remain active.
5
Convergence
Three cross-references and three inbound links show useful raw echo.
Why it scored well
A concentrated wave of workforce-AI proposals, a precise HR and Legal buyer, no purpose-built product found, and available HR integration support the direction.
What's holding it back
Most supplied authorities are pending or newly effective, causation is consequential legal judgment, employee data is sensitive, and incumbent governance platforms can add workflows.
Signals detected4 sources crossed
Signallegal research carried in Genesis
Signallegal research carried in Genesis
Signallegal research carried in Genesis
SignalGenesis market scan
Direction brieflayoffledger.md
layoffledger.md
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